Literature DB >> 18720173

A comparison of indirect versus direct measures for assessing physical activity in the pediatric population: a systematic review.

Kristi B Adamo1, Stéphanie A Prince, Andrea C Tricco, Sarah Connor-Gorber, Mark Tremblay.   

Abstract

BACKGROUND: Accurate assessment of physical activity (PA) in children and adolescents is required to establish PA levels, monitor changes and inform public healthy policy. This study systematically reviews the literature to determine the extent of agreement between indirect (e.g., questionnaire) and direct (e.g., accelerometry) assessments of PA in pediatric populations (<or=19 years).
METHODS: Literature was identified through searching electronic databases (e.g., MEDLINE, EMBASE), websites of relevant organizations and conference abstracts until April 2007. Studies were included if they collected indirect and direct measures of PA in pediatric populations and were reported in English. Quality of included studies was appraised using a modified Downs and Black tool.
RESULTS: A total of 83 studies were included; 24 describing comparable data and 59 including a correlation analysis. The majority of correlations reported between indirect and direct measures were low-to-moderate (range: -0.56 to 0.89). Overall, 72% of the indirect measures overestimated the directly measured values. Combined gender, as well as male- and female-only data comparing indirect measures to accelerometery, heart rate monitoring or direct observation, all reported an overestimation by indirect method. A similar trend was observed in combined gender data comparing indirect measures with doubly labelled water; however, the opposite trend was observed in the male- and female-only data with a slight underestimation by indirect measure.
CONCLUSIONS: Substantial discrepancies and moderate correlations between indirect methods and direct measures of assessing PA in pediatric populations are of concern, especially when trying to establish relationships with health outcomes.

Entities:  

Mesh:

Year:  2009        PMID: 18720173     DOI: 10.1080/17477160802315010

Source DB:  PubMed          Journal:  Int J Pediatr Obes        ISSN: 1747-7166


  126 in total

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Journal:  Contemp Clin Trials       Date:  2010-08-17       Impact factor: 2.226

2.  Effect of BMI on prediction of accelerometry-based energy expenditure in youth.

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3.  Individual factors and school-based policies related to adherence to physical activity recommendations in Spanish adolescents.

Authors:  I Galán; R Boix; M J Medrano; P Ramos; F Rivera; C Moreno
Journal:  Prev Sci       Date:  2014-08

4.  Perceived and observed maternal relationship quality predict sexual debut by age 15.

Authors:  Myeshia N Price; Janet Shibley Hyde
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5.  Correlates of physical activity among First Nations children residing in First Nations communities in Canada.

Authors:  Ian Janssen; Lucie Lévesque; Fei Xu
Journal:  Can J Public Health       Date:  2014-11-05

6.  The influence of dairy consumption and physical activity on ultrasound bone measurements in Flemish children.

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Journal:  J Bone Miner Metab       Date:  2014-03-15       Impact factor: 2.626

7.  U.S. Children Meeting Physical Activity, Screen Time, and Sleep Guidelines.

Authors:  Ciarán P Friel; Andrea T Duran; Ari Shechter; Keith M Diaz
Journal:  Am J Prev Med       Date:  2020-08-27       Impact factor: 5.043

8.  Gender Differences in the Relationship Between Physical Activity and Smoking Among Psychiatrically Hospitalized Adolescents.

Authors:  Erika Litvin Bloom; Ana M Abrantes; Kathryn F Fokas; Susan E Ramsey; Richard A Brown
Journal:  Ment Health Phys Act       Date:  2012-11-02

9.  Daily physical activity and life satisfaction across adulthood.

Authors:  Jaclyn P Maher; Aaron L Pincus; Nilam Ram; David E Conroy
Journal:  Dev Psychol       Date:  2015-08-17

Review 10.  Ambulatory assessment.

Authors:  Timothy J Trull; Ulrich Ebner-Priemer
Journal:  Annu Rev Clin Psychol       Date:  2012-11-13       Impact factor: 18.561

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